| ISBN13: | 9781032439044 |
| ISBN10: | 1032439041 |
| Binding: | Hardback |
| No. of pages: | 136 pages |
| Size: | 234x156 mm |
| Weight: | 910 g |
| Language: | English |
| Illustrations: | 3 Illustrations, black & white; 96 Illustrations, color; 2 Halftones, black & white; 24 Halftones, color; 1 Line drawings, black & white; 72 Line drawings, color |
| 692 |
Mathematics in general
Engineering in general
Chemical engineering and industry
Electrical engineering and telecommunications, precision engineering
Mechanical Engineering Sciences
Civil and construction engineering
Energy industry
Theory of computing, computing in general
Operating systems and graphical user interfaces
Computer programming in general
Artificial Intelligence
Environmental sciences
Agribusiness
Product design
Mathematics in general (charity campaign)
Engineering in general (charity campaign)
Chemical engineering and industry (charity campaign)
Electrical engineering and telecommunications, precision engineering (charity campaign)
Mechanical Engineering Sciences (charity campaign)
Civil and construction engineering (charity campaign)
Energy industry (charity campaign)
Theory of computing, computing in general (charity campaign)
Operating systems and graphical user interfaces (charity campaign)
Computer programming in general (charity campaign)
Artificial Intelligence (charity campaign)
Environmental sciences (charity campaign)
Agribusiness (charity campaign)
Product design (charity campaign)
Artificial Intelligence for Science and Engineering Applications
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This book addresses the unique differences in how AI should be developed and used in science and engineering. Through inclusion of definitions and detailed examples, this book covers actual and realistic requirements as well as avoidance of certain characteristics for the correct and successful science and engineering application of AI.
Artificial Intelligence (AI) is defined as the simulation of human intelligence through the mimicking of the human brain for analysis, modeling, and decision?making. Science and engineering problem solving requires modeling of physical phenomena, and humans approach the solution of scientific and engineering problems differently from other problems. Artificial Intelligence for Science and Engineering Applications addresses the unique differences in how AI should be developed and used in science and engineering. Through the inclusion of definitions and detailed examples, this book describes the actual and realistic requirements as well as what characteristics must be avoided for correct and successful science and engineering applications of AI.
This book:
- Offers a brief history of AI and covers science and engineering applications
- Explores the modeling of physical phenomena using AI
- Discusses explainable AI (XAI) applications
- Covers the ethics of AI in science and engineering
- Features real?world case studies
Offering a probing view into the unique nature of scientific and engineering exploration, this book will be of interest to generalists and experts looking to expand their understanding of how AI can better tackle and advance technology and developments in scientific and engineering disciplines.
1. Definition of Artificial Intelligence and Machine Learning, 2. Brief History of Artificial Intelligence, 3. Science and Engineering Application of Artificial Intelligence, 4. Modeling Physics Using Artificial Intelligence, 5. Artificial Intelligence versus Traditional Statistics, 6. Ethics of Artificial Intelligence (AI?Ethics) in Science and Engineering, 7. Explainable Artificial Intelligence (XAI)
